STAT201-23S1 (C) Semester One 2023

Applied Statistics

15 points

Details:
Start Date: Monday, 20 February 2023
End Date: Sunday, 25 June 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 5 March 2023
  • Without academic penalty (including no fee refund): Sunday, 14 May 2023

Description

A practical introduction to commonly used statistical methods, designed to increase the breadth of statistics skills. The emphasis is on the application of statistical techniques to solve problems involving real data.

The course is designed for students majoring in statistics, as well as students from other disciplines (e.g. biology, commerce, etc.) who want to increase the breadth of their statistical knowledgebase. We cover common statistical techniques such as the linear model and some of the analysis techniques based on statistical learning.  Simple linear regression, multiple linear regression, analysis of variance, analysis of covariance, linear mixed models and multivariate statistics are introduced, with an emphasis on problem solving applied to real data. The computer package R is used, but no prior knowledge is assumed. Students on this course may also be interested in enrolling in STAT202/FORE224 Regression Modelling/Biometry 1B.

Learning Outcomes

  • You will be able to:
  • Use R in analysing data;
  • understand commonly used statistical methods for analysis of univariate, and multivariate problems;
  • know how to apply analysis techniques based on statistical learning methods;
  • conduct statistical analyses using R;
  • write lab reports in which data are analysed and computer output is interpreted

Prerequisites

STAT101 or DATA101 or 15 points from 100-level MATH or EMTH (excluding MATH110)

Restrictions

FORE210, STAT220, FORE222, STAT222

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 E5 Lecture Theatre
20 Feb - 2 Apr
24 Apr - 4 Jun
Lecture B
Activity Day Time Location Weeks
01 Wednesday 13:00 - 14:00 E5 Lecture Theatre
20 Feb - 2 Apr
24 Apr - 4 Jun
Lecture C
Activity Day Time Location Weeks
01 Thursday 13:00 - 14:00 Meremere 108 Lecture Theatre
20 Feb - 2 Apr
24 Apr - 4 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Tuesday 10:00 - 11:00 Jack Erskine 442 Computer Lab
27 Feb - 2 Apr
24 Apr - 4 Jun
02 Tuesday 11:00 - 12:00 Jack Erskine 442 Computer Lab
27 Feb - 2 Apr
24 Apr - 4 Jun
03 Tuesday 12:00 - 13:00 Jack Erskine 442 Computer Lab
27 Feb - 2 Apr
24 Apr - 4 Jun
04 Tuesday 13:00 - 14:00 Jack Erskine 442 Computer Lab
27 Feb - 2 Apr
24 Apr - 4 Jun

Course Coordinator / Lecturer

Jennifer Brown

Lecturer

Sasha Gavryushkina

Assessment

Assessment Due Date Percentage 
Assignments (x8) 40%
Final Examination 60%

Textbooks / Resources

Recommended Reading

Crawley, Michael J; The R book ; 2nd ed; Wiley, 2012.

Montgomery, Douglas C; Design and analysis of experiments ; Ninth edition; John Wiley & Sons, Inc., 2017.

Zar, Jerrold H; Biostatistical analysis ; 5th ed; Prentice Hall, 2010.

These are on restricted loan in the Library.

Indicative Fees

Domestic fee $824.00

International fee $4,750.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

All STAT201 Occurrences

  • STAT201-23S1 (C) Semester One 2023